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By optimizing the controller weights and damping ratio based on a new iterative optimization procedure, the potential of road adaptive low bandwidth systems with continuously variable dampers is clearly highlighted.
Finally, algorithms are developed to invert this design to realistic local controllers in each area by optimizing the controller parameters until their interarea response matches the closed-loop inter-machine response achieved in the second step.
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It is proposed an approach to find in real time the best control strategy by optimizing the controllers' parameters of three control strategies for the various operating points of a non linear system.
The RSC and GSC controller parameters are determined by simultaneously optimizing the controller performance indices.
System performance improvement can be achieved by optimizing the periods of controller tasks.
First, we identify controller structure by incorporating regularization functions into the optimal control problem and, second, we optimize the controller over the identified structure.
Nevertheless, it is very important to optimize the controller parameters of the PSS to achieve the best performance.
Being an intelligence method for optimizing problem, Genetic Algorithm has been used for optimizing the performance of MPC controller by tuning the controller parameter due to minimum rise time, settling time, overshoot of the target point of the flexible structure and its mode shape amplitudes to make large attitude maneuvers possible.
The paper deals with the LQG controller design optimizing the amount of power produced by two bladed horizontal variable speed wind turbines.
This study aims at improving the control of a heat exchanger, described by a partial differential equation, by optimizing a linear proportional integral fuzzy controller.
A charge controller may be incorporated in the system to: (a) avoid battery damage by excessive charging or discharging and, (b) optimizing the production of the cells or modules by maximum power point tracking (MPPT).
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